Oliver Watt-Meyer

According to our database, Oliver Watt-Meyer authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FloeNet: A mass-conserving global sea ice emulator that generalizes across climates.

William Gregory, Mitch Bushuk, James Duncan, Elynn Wu, Adam Subel, Spencer K. Clark, William J. Hurlin, Oliver Watt-Meyer, Alistair Adcroft, Christopher S. Bretherton, Laure Zanna

CoRR, March, 2026

Examining Fast Radiative Feedbacks Using Machine-Learning Weather Emulators.

Ankur Mahesh, William D. Collins, Travis A. O'Brien, Paul B. Goddard, Sinclaire Zebaze, Shashank Subramanian, James Duncan, Oliver Watt-Meyer, Boris Bonev, Thorsten Kurth, Karthik Kashinath, Michael S. Pritchard, Da Yang

CoRR, February, 2026

2025

SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators.

James Duncan, Elynn Wu, Surya Dheeshjith, Adam Subel, Troy Arcomano, Spencer K. Clark, Brian Henn, Anna Kwa, Jeremy McGibbon, W. Andre Perkins, William Gregory, Carlos Fernandez-Granda, Julius Busecke, Oliver Watt-Meyer, William J. Hurlin, Alistair Adcroft, Laure Zanna, Christopher S. Bretherton

CoRR, September, 2025

2024

ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses.

Oliver Watt-Meyer, Brian Henn, Jeremy McGibbon, Spencer K. Clark, Anna Kwa, W. Andre Perkins, Elynn Wu, Lucas Harris, Christopher S. Bretherton

CoRR, 2024

Probabilistic Emulation of a Global Climate Model with Spherical DYffusion.

Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu

CoRR, 2024

Probablistic Emulation of a Global Climate Model with Spherical DYffusion.

Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

ACE: A fast, skillful learned global atmospheric model for climate prediction.

Oliver Watt-Meyer, Gideon Dresdner, Jeremy McGibbon, Spencer K. Clark, Brian Henn, James Duncan, Noah D. Brenowitz, Karthik Kashinath, Michael S. Pritchard, Boris Bonev, Matthew E. Peters, Christopher S. Bretherton

CoRR, 2023

2022

Machine-learned climate model corrections from a global storm-resolving model.

Anna Kwa, Spencer K. Clark, Brian Henn, Noah D. Brenowitz, Jeremy McGibbon, W. Andre Perkins, Oliver Watt-Meyer, Lucas Harris, Christopher S. Bretherton

CoRR, 2022